We propose a hybrid estimation algorithm based on Bayesian inference approach for stochastic piecewise linear systems. We derive the discrete state (or mode) transition probabilities based on a system of inequalities that describe the probabilistic state space partition of the system. Simulation results are presented to demonstrate the performance of the algorithm.
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